Mechanical Design Of Prototype Exoskeleton Robotic System For Human Leg Movements And Implementation Of Gait Data With Neural Network
| Autor: | Necati Mutlu Daghan, Binnur Goren Kiral, Murat Karagoz, Mehmet Cakmakci, Tolga Olcay, Ahmet Özkurt, Yusuf Arman, Taner Akkan, Yavuz Şenol, M. Evren Toygar, Zeki Kiral |
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| Rok vydání: | 2012 |
| Předmět: |
Artificial neural network
Computer science General Engineering lcsh:A Gait analysis lower extremity exoskeleton system gait control Power (physics) Exoskeleton Yürüme analizi alt ekstremite dış iskelet sistemi yürüme hareketi kontrolü Robotic systems Gait (human) Mechanical design Human leg Yürüme analizi alt ekstremite dış iskelet sistemi yürüme hareketi kontrolü lcsh:General Works Actuator Simulation |
| Zdroj: | Sakarya University Journal of Science, Vol 16, Iss 3 (2012) Volume: 16, Issue: 3 234-248 Sakarya University Journal of Science |
| ISSN: | 1301-4048 2147-835X |
| Popis: | Target of this study is designing a exoskeleton system for single lower extremity disabled person and controlling this exoskeleton system with neural network. Exoskeleton system is modeled by using SolidWorks. At the same time, gait data is acquired on human body and sole is divided four parts after that reaction forces are gauged during the walking. Distributions of strain and deformation are obtained by using experimental gait data. The walking is designed using the obtained data and walking data is derived for control stage. Power requirements of actuators are defined. |
| Databáze: | OpenAIRE |
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